Category

An AI citation is when a generative engine — ChatGPT, Perplexity, AI Overviews — picks your content as a source in its answer and links back to your page.

GPTBot, ClaudeBot, and PerplexityBot are the crawlers that let ChatGPT, Claude, and Perplexity cite your content. Block them and you get zero AI citations.

AI Overviews is Google's AI-generated answer at the top of search results. It cites two to four sources picked for how extractable and trustworthy they are.

An answer engine generates a synthesized answer with cited sources instead of a list of links. Key examples: Perplexity, ChatGPT web, Google AI Overviews.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's content quality framework — its signals also shape whether LLMs cite you.

FAQPage is a Schema.org JSON-LD type that marks up a page's question-answer pairs, making them directly extractable by search engines and LLMs.

GEO (Generative Engine Optimization) is the set of practices that get your content cited by engines like ChatGPT, Perplexity and Google AI Overviews.

Google-Extended is the robots.txt token that controls Google's access for training its generative AI (Gemini, Vertex AI), apart from classic SEO crawling.

llms.txt is a Markdown file at a site's root that points AI models to its most important, structured content — a sitemap built for LLMs, not classic crawlers.

Passage ranking is a Google technology (2021) that scores individual passages inside a page, so a relevant excerpt gets cited even if the page ranks lower.

RAG (Retrieval-Augmented Generation) is the architecture behind generative AI engines: retrieve web passages first, then ground the reply in real sources.

JSON-LD structured data is Schema.org metadata in a page's source code that lets AI crawlers read the type, author, date, and entities without parsing the DOM.